26 to 50 of 138 Big Data Jobs in London

Vendor Manager - ESG Data Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data, and data drives the market. Our Data team acquires and supplies this data to our clients. Teams work collaboratively to collect, analyse, process and publish the data which is the backbone of our iconic Bloomberg Terminal … the data ultimately feeding and moving the financial markets. The Team: Sustainable Finance data is increasingly crucial for our clients - providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, Sustainable … Finance data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products. As a team, we are responsible for reporting and enhancing Sustainable Finance -related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary More ❯

We are seeking a highly skilled Data Engineer to join our FinTech ADA team, responsible for building and optimizing scalable data pipelines and platforms that power analytics, automation, and decision-making across Finance and Accounting domains. The ideal candidate will have strong expertise in AWS cloud technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM … along with hands-on experience designing secure, efficient, and resilient data architectures. You will work with large-scale structured and unstructured datasets, leveraging both relational and non-relational data stores (object storage, key-value/document databases, graph, and column-family stores) to deliver reliable, high-performance data solutions. This role requires strong problem-solving skills, attention … to detail, and the ability to collaborate with cross-functional teams to translate business needs into technical data solutions. Key job responsibilities Scope - Fintech is seeking a Data Engineer to be part of Accounting and Data Analytics team. Our team builds and maintains data platform for sourcing, merging and transforming financial datasets to extract business insights More ❯

Job Title: Data Modeler Role Summary: We are seeking a skilled Data Modeler to design, develop, and maintain enterprise data models that support business intelligence, analytics, and application development initiatives. The role involves working closely with business stakeholders, data architects, and engineering teams to translate business requirements into logical, physical, and conceptual data models, ensuring … data integrity, scalability, and alignment with enterprise standards. Key Responsibilities: Design and implement conceptual, logical, and physical data models to support business and technical requirements. Collaborate with data architects, analysts, and engineers to ensure accurate translation of business needs into data solutions. Maintain data dictionaries, metadata, and documentation for consistency and reusability across the organization. … Optimize data models for performance, scalability, and integration with existing systems. Ensure compliance with data governance, security, and quality standards. Support ETL and data integration processes by providing modeling inputs. Work on relational, dimensional, and NoSQL data modeling depending on project needs. Required Skills & Experience: Strong experience in data modeling concepts (conceptual, logical, physical, dimensional More ❯

Job Title: Data Modeler Role Summary: We are seeking a skilled Data Modeler to design, develop, and maintain enterprise data models that support business intelligence, analytics, and application development initiatives. The role involves working closely with business stakeholders, data architects, and engineering teams to translate business requirements into logical, physical, and conceptual data models, ensuring … data integrity, scalability, and alignment with enterprise standards. Key Responsibilities: Design and implement conceptual, logical, and physical data models to support business and technical requirements. Collaborate with data architects, analysts, and engineers to ensure accurate translation of business needs into data solutions. Maintain data dictionaries, metadata, and documentation for consistency and reusability across the organization. … Optimize data models for performance, scalability, and integration with existing systems. Ensure compliance with data governance, security, and quality standards. Support ETL and data integration processes by providing modeling inputs. Work on relational, dimensional, and NoSQL data modeling depending on project needs. Required Skills & Experience: Strong experience in data modeling concepts (conceptual, logical, physical, dimensional More ❯

Lead Data Scientist LondonPrivate Equity£140,000 - £150,000 + benefits Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering. The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity … purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue. In this role you will lead the technical teams that deliver value. The Role - Lead Data Scientist You will be: Working on multiple engagements within portfolio companies across various different industry sectors Delivering key Data Science/AI initiatives that drive value for customers. Shaping how projects are delivered, driving performance and working closely with C-level execs. Providing technical leadership across the business, with a focus on end-to-end machine learning solutions. More ❯

Lead Data Scientist London Private Equity £140,000 - £150,000 + benefits Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering. The company have an impressive founding team and hold a strong reputation within the Data & AI and Private … purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue. In this role you will lead the technical teams that deliver value. The Role - Lead Data Scientist You will be: Working on multiple engagements within portfolio companies across various different industry sectors Delivering key Data Science/AI initiatives that drive value for customers. Shaping how projects are delivered, driving performance and working closely with C-level execs. Providing technical leadership across the business, with a focus on end-to-end machine learning solutions. More ❯

plan of an additional 5% of your base salary paid by us monthly to save for your future. Your role and responsibilities Unleash your leadership potential as a Managing Data Engineer with Advanced Analytics expertise and drive the development of innovative advanced analytics solutions. In this role, you'll be responsible for leading the way in driving innovation, fostering … a culture of continuous improvement, and nurturing the growth of junior engineers. Join our Data Engineering team and make a significant impact on our clients' advanced analytics initiatives. Apply today and embark on an exciting journey in Data Engineering! Responsibilities: Develop and lead cutting-edge advanced analytics solutions for complex business problems. Mentor junior data engineers, providing … guidance and support in their professional development. Perform statistical analysis, data collection, data mining, and text mining. Design, build, and manage solutions for advanced analytics projects. Utilize predictive analytics tools (SPSS) to draw conclusions and present findings. Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organization Required technical and professional expertise Extensive experience More ❯

efficiency. Working at GSR is an opportunity to be deeply embedded in every major sector of the cryptocurrency ecosystem. About the role: This role sits within GSR's global Data Engineering team, where you'll contribute to the design and development of scalable data systems that support our trading and business operations. You'll work closely with stakeholders … across the firm to build and maintain pipelines, manage data infrastructure, and ensure data is reliable, accessible, and secure. It's a hands-on engineering position with scope to shape the way data is handled across the business, working with modern tools in a fast-moving, high-performance environment. Your responsibilities may include: Build and maintain scalable … efficient ETL/ELT pipelines for both real-time and batch processing. Integrate data from APIs, streaming platforms, and legacy systems, with a focus on data quality and reliability. Design and manage data storage solutions, including databases, warehouses, and lakes. Leverage cloud-native services and distributed processing tools (e.g., Apache Flink, AWS Batch) to support large-scale More ❯

to be successful in this role. The team has a mix of experience levels, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. About … and/or incident response in the context of large organisations In-depth understanding of security threats, hands-on experience detecting and defending from cyber attacks, and experience using big data analytics and orchestration to address security challenges. Ability to develop code with at least one modern language such as Java, Go, TypeScript, Python, Rust and security code … improve their skills and effectiveness PREFERRED QUALIFICATIONS BS or MS in a STEM related field. Understanding of the Mitre ATT&CK framework and knowledge of host and network telemetry data (e.g., process lists, application logs, NetFlow) Have awareness and understanding of current cyber security threats, actors and their techniques. Experience with data science, big data analytics More ❯

Responsibilities and Impact You will enable S&P ratings business to provide best in class end-to-end analytical, commercial and customer experience by building feature rich solutions including big data engineering, analytics, business intelligence and workflow capabilities. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting … of web applications, data pipelines, big data, machine learning and multi-cloud. Active participation in all scrum ceremonies, follow AGILE best practices effectively. Play a key role in the development team to build high-quality, high-performance, scalable code. Document and demonstrate solutions using technical design docs, diagrams, and stubbed code. Collaborate effectively with technical and non … expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while More ❯

As a Security Engineer, you'll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. You'll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserves our customers … penetration testing and/or incident response in the context of large organisations Understanding of security threats, hands-on experience detecting and defending from cyber-attacks, and experience using big data analytics and orchestration to address security challenges Ability to develop code with at least one modern language such as Java, Go, TypeScript, Python, Rust and security code … review PREFERRED QUALIFICATIONS Understanding of the Mitre ATT&CK framework and knowledge of host and network telemetry data (e.g., process lists, application logs, NetFlow) Have awareness and understanding of current cyber security threats, actors and their techniques Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies More ❯

Reports to: Team Leader, Analytics, Claims and Underwriting Solutions (International) Location: London/Hybrid Business Description Verisk Analytics is a multinational data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the … residential and commercial property perils, motor insurance, SME business covers, travel, pet and health insurance. To feed our risk models we source many diverse datasets covering high resolution weather data, property attributes, business activities and financial data, insurance claims and policies, medical information, aerial imagery and geodemographic data. In claims solutions we support end-to-end claims handling … real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a Data Scientist to support the development of various data science models to support the development of our risk management products. The International Analytics Team is a dynamic and exciting More ❯

and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch … NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. • Scientific thinking with the … the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code • Published research in areas of Machine More ❯

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions … machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics … application of machine learning models across different areas of the businessRequired qualifications, capabilities, and skillsPhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding More ❯

part of the full process from design, to code, to test, to deployment and back again for further iteration. Our team is building the Machine Learning Platform for all data scientists across Tripadvisor. Our mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business … a variety of 3rd party packages, including MLFlow, Seldon for ML model tracking and deployment, Kubernetes for hosting models, Argo and Git for CI/CD automation, Spark for big data processing. This is a rapidly changing field and we are deeply involved in open source community to help shape the technology evolution and are constantly looking for … for doing so. Take responsibility for all aspects of software engineering, from design to implementation, QA and maintenance. Touch code at every level - from the UI, backend microservices, database, big data processing, operations, to CD/CI automation. Collaborate closely with data science teams to define feature specifications and develop high quality deliverables for our customers. Take More ❯

Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security … based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion … Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams More ❯

screen the profile before interview. At least Candidate should know Scala coding language. Pyspark profile will not help here. Interview includes coding test. Job Description: = Scala/Spark Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) Experience in Big data technologies, Real Time data processing platform (Spark Streaming) experience would be an advantage. Consistently demonstrates clear and concise written and verbal communication A history of delivering against agreed objectives Ability to multi-task and work under pressure Demonstrated problem solving and decision-making skills Excellent analytical and process-based skills, ie process flow diagrams, business modelling More ❯

of Specialist Solutions Architects (SSAs) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance … supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc. What we look for: Experience in senior roles in the data space with a technical product (i.e. data warehousing, big data, or machine learning) Experience leading technical customer-facing teams (team sizes greater than 8), preferably in … a pre-sales organisation leading technical engagements Trusted advisor to technical executives that guide strategic data infrastructure decisions Self-starter, challenger, strategic planner & analytical thinker Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles. Experience working More ❯

to assess, implement, and manage fraud detection tools and capabilities.Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies.Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover.Some other highly valued … skills may include:Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation.Supervisory and mentorship experience, delegating responsibilities within financial services.Experience working with an industry leading digital identity, device, and behavioural profiling technology.Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place for all rule and model … executions.Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business More ❯

Senior Data Engineer - Sought by Leading Commodities firm - Permanent - Hybrid - London Salary - Up to 135K + 20-30% Bonus About the role - We're looking for an experienced Data Engineer for the Surveillance IT team to develop ingestion pipelines and frameworks across the application portfolio, supporting Trade Surveillance analysts with strategy and decision-making. You should be experienced … in a data engineering role demonstrating a strong track record of designing, building, and maintaining data pipelines and data architectures. Required Skills - Proficiency in Python, Pyspark, SQL for data manipulation and querying. Experience with containerisation technologies, specifically Kubernetes and Docker. Proven experience in designing and implementing data pipelines, working with big data technologies More ❯

assess, implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other … highly valued skills may include: Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place … for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as More ❯

assess, implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other … highly valued skills may include: Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place … for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as More ❯

Our client, a nationwide Transportation company is looking for a Data Analyst to join their growing team! Do you thrive in a dynamic environment where your analytical skills can make a real difference? If so, we have the perfect opportunity for you! This company is looking for someone passionate about turning data into actionable insights. Role: Performance Data Analyst Contract Type: Interim Day rate: up to £400/day depending on experience Location: London OR Crawley (hybrid - 3 days per week in office) As a Data Analyst, you will provide meaningful insights, analysis, and reporting for stakeholders, driving performance improvement through enhanced reporting and key trend analysis. You'll support data projects and help develop … systems that leave a legacy of better data insights. Key Accountabilities: Conduct deep analysis of existing data sets to uncover areas for improvement. Perform statistical analysis on big data to identify trends. Create tools and platforms for data automation. Conduct diagnostic analysis to pinpoint routine performance losses. Enhance the internal reporting suite to improve data More ❯

Lead Data Scientist London Up to £95,000 + bonus + benefits Our Client We're helping a global ecommerce marketplace build out their Data & Analytics teams. With over 20,000 employees in 41 locations around the world, our client traverses a number of consumer industries. They are passionate about transforming the ecommerce sector by investing in and … their business; they aim to leave a positive impact on all stakeholders including employees, customers and partners, helping to build sustainable local communities on a global scale. The role Data Scientists are hands-on with building models that allow our client to hyper-personalise their customer experience. In addition this, at a leadership level, Data Scientists work as … internal consultants within the business, advising executive teams on all things concerning predictive analytics and machine learning. What a Lead Data Scientist role will involve A hybrid role which is both hands-on with building models and involves consulting throughout the wider business, serving as the Data Science SME for the core customer-facing platform. Collaborating with Customer More ❯

Chief Data Scientist London – Hybrid (3 days a week in Chelsea) Up to £120,000 + Benefits The Opportunity We are excited to be working with a long standing partner of ours on a new Chief Data Scientist position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll … lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone looking to take a step up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. More ❯